InnoCentive: Algorithm for Matching Latent Fingerprints

This Challenge seeks to identify innovative methods to perform fully automated matching of digitized latent fingerprints against a gallery of known and unknown reference fingerprints, and to support law enforcement agencies’ ability to identify suspects from the scene of a crime. Current Automated Fingerprint Identification Systems' (AFIS’s) attempt to match a latent fingerprint to an enrolled print in a gallery, and to provide a list of candidate matches for a trained Latent Print Examiner. This Challenge includes a real-time online scoring utility for Solvers to easily score their own code for accuracy on a blinded data set. They may also compare performance versus other Solvers. AWARD: up to $100,000. Solvers must provide a full and complete written description of the proposed algorithm and source code, and any supporting information that validates the performance of the proposed solution. To receive an award, Solvers must transfer to the Seeker their exclusive Intellectual Property (IP) rights to the solution.

https://www.innocentive.com/ar/challenge/9932941